ULMS Electronic Module Catalogue
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title OPERATIONS MODELLING AND SIMULATION
Code EBUS504
Coordinator Dr JE Hernandez Hormazabal
Operations and Supply Chain Management
J.E.Hernandez@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2021-22 Level 7 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
 

Modules for which this module is a pre-requisite:
 

Programme(s) (including Year of Study) to which this module is available on a required basis:
 

Programme(s) (including Year of Study) to which this module is available on an optional basis:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 12

 6

       12

6

 36
Timetable (if known) 60 mins X 1 totaling 12
  		60 mins X 1 totaling 6
  		      60 mins X 1 totaling 12
60 mins X 1 totaling 6
  		 
Private Study 114
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
             
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Simulation There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When): Semester 1  5 weeks x 2 hours ea    100       

Aims

To understand a range of modelling analytical methods and their appropriate applications;

To understand the dynamic nature of systems and their behavioural characteristics;

To understand how real system modules are developed, tested and validated;

To develop confidence in the use of commercially available simulation tools such as Excel, Zoho Analytics, Witness and Vensim.

Learning Outcomes

(LO1) Be able to develop models for business process reengineering;

(LO2) Be able to specify and demonstrate a computer simulation for business process modelling;

(LO3) Be able to apply statistical and analytical techniques for simulation experimentation;

(S1) Adaptability

(S2) Problem solving skills

(S3) Commercial awareness

(S4) Teamwork

(S5) Organisational skills

(S6) Communication skills

(S7) IT skills

(S8) International awareness

(S9) Lifelong learning skills

(S10) Ethical awareness

(S11) Leadership

Teaching and Learning Strategies

Hybrid delivery, with social distancing on campus.

1 hour online asynchronous learning per week x 12 weeks
1 hour face-to-face synchronous lecture per week x 12 weeks
1 hour face-to-face seminar every other week x 6 weeks
1 hour face-to-face peer-to-peer learning every other week (unscheduled) x 6 weeks
Self-directed learning x 114 hours

Syllabus
 

Introduction to modelling theory.

The use of modelling to support Inventory management, the witness interface for process simulation.

The use of Discrete event simulation, industry examples.

Flow diagram approaches and the application in case studies from industry.

Data analytics tools to support modelling and Simulations, Data analysis techniques.

Application and understanding of Queuing theory for enhancing decision-making processes.

The use of multi-criteria decision-making analysis, modelling, and scenario building examples.

The use of System dynamic Modelling.

Demonstrating the practical aspects of developing simulation models with a review of the benefits and problems encountered.

Assignment Exercises.

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.